Applications of Colorimeter in Machine Visions for Checking Printed-Circuit Boards

Article Sidebar

PDF
Published: Mar 30, 2018
Keywords:
colorimetry, machine vision, automated visual inspections, isodiscrimination contour, and color identification

Main Article Content

P. Tantaswadi
Sirindhorn International Institute of Technology, Department of Electrical Engineering, Thammasat University, Pathumthani, Thailand.
P. Serisathien
Sirindhorn International Institute of Technology, Department of Electrical Engineering, Thammasat University, Pathumthani, Thailand.
R. Voravichayavivat
Sirindhorn International Institute of Technology, Department of Electrical Engineering, Thammasat University, Pathumthani, Thailand.
C. Sriwanyong
Sirindhorn International Institute of Technology, Department of Electrical Engineering, Thammasat University, Pathumthani, Thailand.

Abstract

Application of colorimetry in color identification for checking printed-circuit boards (PCBs) is proposed. Inspection of electronic components during the assembly of the printed circuit boards (PCBs) can be done by an analysis of color image. This method significantly enchances the imahe-processing speed. Additionally, the inspection accuracy can be attained by the use of color isodiscrimination contour criterio.


Keywords:  colorimetry, machine vision, automated visual inspections, isodiscrimination contour, and color identification


Corresponding author: E-mail: cast@kmitl.ac.th

Article Details

Issue
Vol. 1 No. 1 (2001)
Section
Original Research Articles

Copyright Transfer Statement

 The copyright of this article is transferred to Current Applied Science and Technology journal with effect if and when the article is accepted for publication. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, electronic form (offline, online) or any other reproductions of similar nature.

 The author warrants that this contribution is original and that he/she has full power to make this grant. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors.

Here is the link for download: Copyright transfer form.pdf

 

 

References

[1] C.N. Larsson, et al. Machine Vision for Detection of Electronic Components, ACCV’95, Dec. 1995, Singapore.
[2] D. Mital, et al. Color Vision for Industrial Applications IEEE: IECON’90: 548-551, 1990.
[3] P. Tantaswadi, et al. Machine Vision for Automated Visual Inspection of Cotton Quality in Textile Industries using Color Isodiscrimination Contour, Comp. & Indust. Engr., 37, 1999, pp. 347-350.
[4] C. Gunawardena, et al. A Spot-type Defect Detection and Color Identification System for Agriculture Produce. IEEE: IECON’91: 2531-2534, 1991.
[5] D. H. Brainard, Handbook of Optics: Volume II, OSA.
[6] G.D. Asensi, et al. Automatic Color Identification System Through Computer Vision Techniques for its Application in Classification of Canned Vegetable Tins According to Product Sizes and Qualities. IEEE 1994.
[7] M.Zuhdan, et al. classifying Papers and Checking Similarity of Two Papers using Color Images. ACCV’95, Dec. 1995, Singapore.
[8] R. Crane, A simplified Approach to Image Processing, Prentice-Hall, Inc.